# Data Hazards Checklist Below follow the checklists for Project Owners for applying the Data Hazards labels for their own data science projects: ## Before applying: * Prepare the description and the objective of your data science project. * Explain detailed description of the variables in the datasets you are using (and what is not included). * Explain how and when the data was collected. * Explain any statistical/algorithmic methods being used. * Explain who has input on the project. * Explain what are the outputs are expected, and how these will be shared to a wider audience. ## Learning the Data Hazards labels: * Read the Data Hazards labels. The current version of the 11 Data hazards labels is available [in here](https://datahazards.com/contents/data-hazards.html). * Connect the Data Hazard labels and your datasets ## Applying the Data Hazards labels: ## Displaying the Data hazards labels: # Resources * Data Hazards labels for the * The Turing Way book has a section how to do a [Sensitive Data Project](https://the-turing-way.netlify.app/project-design/sdp.html) and what are the types of sensitive data [in here](https://the-turing-way.netlify.app/project-design/sdp.html).